Abstract
Background Inflammation linked to diabetic kidney disease (DKD) may affect white blood cell (WBC) counts and differentials. We examined the cross-sectional associations of total WBC count and WBC fractions with structural lesions of DKD in 108 Pima Indians with Type 2 diabetes who underwent research kidney biopsies. We also examined the longitudinal association of these WBC variables with renal function loss (RFL) in 941 Europeans with Type 2 diabetes from the SURDIAGENE study. Methods Associations of WBC variables with morphometric parameters were assessed by linear regression. RFL was defined as≥40% loss of estimated glomerular filtration rate from baseline. Associations with RFL were evaluated by Cox regression. Hazard ratios (HRs) were reported per standard deviation increment of each WBC variable. Results After multivariable adjustment, lymphocyte (r = -0.20, P = 0.043) and eosinophil (r = 0.21, P = 0.032) fractions in the Pima Indians correlated with glomerular basement membrane width. Eosinophil fraction also correlated with glomerular filtration surface density (r = -0.21, P = 0.031). Lymphocyte fraction (r = 0.25, P = 0.013), neutrophil fraction (r = -0.23, P = 0.021) and the neutrophil:lymphocyte ratio (r = -0.22, P = 0.024) correlated with percentage of normally fenestrated endothelial cells. During median follow-up of 4.5 years, 321 SURDIAGENE participants developed RFL. Lower lymphocyte fraction [HR = 0.67, 95% confidence interval (95% CI) 0.60-0.76] and higher neutrophil fraction (HR = 1.35, 95% CI 1.20-1.52), total WBC count (HR = 1.20, 95% CI 1.08-1.35) and neutrophil:lymphocyte ratio (HR = 1.44, 95% CI 1.28-1.62) each predicted RFL in this cohort. Conclusions WBC fractions associate with morphometric lesions of DKD and predict RFL in individuals with Type 2 diabetes.
Original language | English (US) |
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Pages (from-to) | 1001-1009 |
Number of pages | 9 |
Journal | Nephrology Dialysis Transplantation |
Volume | 33 |
Issue number | 6 |
DOIs | |
State | Published - Jun 1 2018 |
Bibliographical note
Publisher Copyright:© 2017 Published by Oxford University Press on behalf of ERA-EDTA.
Keywords
- CKD
- biomarkers
- diabetic kidney disease
- inflammation
- kidney biopsy